Generating an assembled group image from subject images

ABSTRACT

An assembled group image is generated from subject images. Each of the subject images is associated with height data for the subject in the image. The height data is used to position the subject images in the assembled group image to provide a natural appearance. Shadows can also be added to the assembled group image.

CROSS-REFERENCE TO RELATED APPLICATION

This application is a continuation of U.S. patent application Ser. No.13/720,509 filed on Dec. 19, 2012, now U.S. Pat. No. 9,025,906 issued onMay 5, 2015, and entitled GENERATING AN ASSEMBLED GROUP IMAGE FROMSUBJECT IMAGES, the disclosure of which is incorporated by referenceherein in its entirety.

BACKGROUND

Photographing groups of people typically involves gathering all of thepeople together at a single time and place, and capturing one or morephotographs of the people while they are gathered together. Variousgroups can be photographed in this manner. For example, a group mayconsist of a family, a sports team, employees of a business, and thelike.

The difficulties in obtaining a high quality group photograph arenumerous. To begin, it is often difficult to gather all of theappropriate people together at the same time. If they cannot be gatheredtogether, certain people may be missing in the photograph. It can alsobe very difficult to simultaneously coordinate the expressions of peoplein the photograph so that they all have appropriate facial expressionsat the time that the photograph is taken.

Another difficulty with such group photographs is that they cannot beupdated or modified without repeating the group photography session withthe full set of people. So, for example, when an employee leaves acompany, or a new employee is hired, the group photograph must beretaken with the current set of employees.

SUMMARY

In general terms, this disclosure is directed to the generation of anassembled group image from individual images. In one possibleconfiguration and by non-limiting example, the assembled group image isgenerated utilizing height data.

One aspect is a method of generating an assembled group image fromindividual subject images, the method comprising: determining apreliminary arrangement for the individual subject images, thepreliminary arrangement including preliminary subject positions;determining vertical shift factors using subject height data; generatingwith a computing device a final arrangement for the individual subjectimages, the final arrangement including final subject positions that arevertically shifted from the preliminary subject positions by thevertical shift factors; and generating the assembled group image byarranging the individual subject images at the final subject positions.

Another aspect is an assembly station for generating an assembled groupimage from individual subject images, the assembly station comprising:at least one processing device; and at least one computer readablestorage device, wherein the at least one computer readable storagedevice comprises data instructions, which when executed by the at leastone processing device generate: a preliminary subject layout engine thatdetermines a preliminary arrangement for individual subject images, thepreliminary arrangement including preliminary subject positions; asubject height adjustment engine that determines vertical shift factorsusing subject height data; a subject height adjustment engine thatgenerates a final arrangement for the individual subject images, thefinal arrangement including final subject positions that are verticallyshifted from the preliminary subject positions by the vertical shiftfactors; and a rendering engine that generates the assembled group imageby arranging the individual subject images at the final subjectpositions.

A further aspect is a method of generating an assembled group image, themethod comprising: obtaining individual subject images; obtaining heightdata associated with the individual subject images; arranging at leastsome of the individual subject images into an assembled group imageusing the height data.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic diagram illustrating the generation of a groupassembled image.

FIG. 2 is a schematic block diagram illustrating a system for producingproducts involving the assembled group image.

FIG. 3 is a schematic block diagram of an example of a photographystation.

FIG. 4 is a schematic block diagram illustrating examples of subjectimages and associated subject data.

FIG. 5 illustrates an exemplary architecture of a computing device thatcan be used to implement aspects of the present disclosure.

FIG. 6 is a schematic block diagram illustrating an example of anassembly station.

FIG. 7 is a flow chart illustrating an example method of processingsubject images.

FIG. 8 is a flow chart illustrating an example method of generatingpreliminary subject positions for an assembled group image.

FIG. 9 illustrates an example preliminary subject layout for anassembled group image.

FIG. 10 illustrates another example preliminary subject layout for anassembled group image.

FIG. 11 is a flow chart illustrating an example method of selectingsubject images from an image database.

FIG. 12 is a flow chart illustrating an example method of placingsubject images into an assembled group image.

FIG. 13 illustrates an example method of determining a vertical shiftfactor using subject height data.

FIG. 14 illustrates an example method of generating an assembled groupimage.

FIG. 15 illustrates an example method of generating subject shadows foran assembled group image.

FIG. 16 illustrates an example of the method shown in FIG. 15.

FIG. 17 is a schematic diagram illustrating a gradient mask.

DETAILED DESCRIPTION

Various embodiments will be described in detail with reference to thedrawings, wherein like reference numerals represent like parts andassemblies throughout the several views. Reference to variousembodiments does not limit the scope of the claims attached hereto.Additionally, any examples set forth in this specification are notintended to be limiting and merely set forth some of the many possibleembodiments for the appended claims.

FIG. 1 is a schematic diagram illustrating the generation of a groupassembled image. The diagram includes individual subject images 102,subject data 104, a group assembler 106, and an assembled group image108.

The individual subject images 102 are visual representations of multiplesubjects, which are typically captured using a digital camera. In someembodiments, the individual subject images 102 each store a visualrepresentation of only one subject. In some embodiments, the images 102are encoded in a digital image file format, such as the jointphotographic experts group (JPEG) digital image format. Otherembodiments use other formats, such as exchangeable image file format(EXIF), tagged image file format (TIFF), raw image format (RAW),portable network graphics (PNG) format, graphics interchange format(GIF), bitmap file format (BMP), portable bitmap (PBM) format, or otherdigital file formats. In some embodiments the images 102 are stored asindividual image files, each having a file name. In some embodiments,the file name can be used to uniquely identify the image. In someembodiments, the subject images 102 include metadata. The metadata canstore data, such as an identifier, that is used to link the image withthe associated data in the subject data 104 for that image. An exampleof an identifier is a subject identification number. Another example ofan identifier is the name of the subject.

In some embodiments, there may be multiple subject images 102 availablefor a single subject. In the example depicted in FIG. 1, the firstsubject (subject 1) has two subject images 102 ^(1A) and 102 ^(1B). Asecond subject (subject 2) also has two subject images 102 ^(2A) and 102^(2B). Additional subjects can similarly have one or more respectiveimages (102 ^(3A), 102 ^(3B), 102 ^(4A), 102 ^(4B), etc.). More or fewerimages can be provided for a given subject, and some subjects may havemore images than other subjects. The multiple images for a subjecttypically include different visual representations of the subject, suchas depicting the subject in different poses.

In some embodiments, the subject images 102 may contain multiplesubjects. For example, two subjects could be captured at the same time,and subsequently combined (or separated and then combined) withadditional subjects into an assembled group image, as discussed herein.

Subject data 104 is also provided in some embodiments. The subject data104 contains data relating to the subjects depicted in the subjectimages 102. For example, the subject data 104 can identify the subject'sname, subject identification numbers (school ID, employee ID, etc.), thesubject's group affiliations, the subject's status within a group, etc.Examples of the subject images 102 and subject data 104 are illustratedand described in more detail with reference to FIG. 4.

The group assembler 106 generates the assembled group image 108 using atleast some of the subject images 102 and the subject data 104. Theassembled group image 108 depicts multiple of the subjects in a singleimage. In some embodiments, the assembled group image 108 resembles agroup photograph obtained by gathering the subjects together as a groupand photographing them all at the same time. In many embodiments, thegroup assembler 106 generates the assembled group image 108 withoutusing a template having predefined positions for the subjects. Instead,the group assembler 106 determines appropriate positions for eachsubject within the assembled group image 108, such as based at least inpart on one or more of: layout rules, a quantity of subjects, subjectheight data, subject weight data, subject status within group data, orother data or factors.

The assembled group image 108 is then stored in computer readablestorage media. In some embodiments, the assembled group image 108 isstored as an image file. In other embodiments, the assembled group image108 is stored as separate subject image files, and assembly data thatdefines the positions for each of the subject images determined by thegroup assembler 106, so that an image file can be subsequentlygenerated.

FIG. 2 is a schematic block diagram illustrating a system 120 forproducing products involving assembled group images. In this example,the system 120 includes photography stations 122 (including stations P1,P2, and P3) having cameras 124, assembly station 126 (includingcomputing device 128, group assembler 106, and data store 129), and aproduction station 130. FIG. 2 also illustrates subject images 102,subject data 104, assembled group image 108, products 132, subjects(including subjects 1, 2, 3, and 4), group coordinator G, and customersC (including customers C1, C2, and C3).

The photography stations 122 include at least one camera 124 thatoperates to capture a photograph of at least one of the subjects.Cameras 124 can be film or digital cameras, and can be still or videocameras. If film cameras are used, the resulting prints are typicallyscanned by a scanner device into digital form. The resulting digitalimages are at least temporarily stored in computer readable storagemedium as subject images 102, which are then transferred to the assemblystation 126. The transfer can occur across a data communication network(such as the Internet, a local area network, a cellular telephonenetwork, or other data communication network), or can occur byphysically transferring the computer readable storage medium containingthe subject images 102 (such as by personal delivery or mail) to theassembly station 126.

Each photography station 122 can be at a common location, or some or allof the photography stations 122 can be at different locations. Forexample, for a school photography session, each of the photographystations 122 can be setup in the school. As another example, however,the photography stations 122 can be setup in a retail store environment(such as a portrait studio), and the stations 122 can be in differentcities, states, countries, continents, etc. In this example, thesubjects (e.g., subjects 1-4) can have their pictures taken at theclosest or most convenient photography station 122 location, and thesubjects are not required to travel to a common location. For example,subject 1 has pictures taken at photography station P1, subject 2 haspictures taken at photography station P2, and subjects 3 and 4 havepictures taken at photography station P3.

In some embodiments, the photography stations 122 are operated by aprofessional photographer. In other possible embodiments, thephotography stations are automated. An example of an automatedphotography station 122 is a photo booth where the subject can interactdirectly with the photography station 122 to complete the photographysession.

In its most basic configuration, the photography station 122 can simplybe a location where the camera 124 is located, which may be outdoors orindoors, and may be operated by a photographer or the subject. In otherpossible embodiments, the photography station can include additionalhardware, such as lighting systems, control systems, a height detectiondevice, a pose detection device, or other physical objects or devices.One specific example of a photography station 122 is illustrated anddescribed in more detail herein with reference to FIG. 3.

In some embodiments, the photography station 122 generates subject data104, which contains information relating to the one or more subjects inthe subject images 102. One possible way to collect subject data is byusing a subject data card that is given to the subject at or before thephotography session. The subject data card can include a computerreadable code, such as a barcode, which can be read by a scanner toprovide the information to a computing device at the photographystation. Examples are described in U.S. Pat. No. 7,714,918, issued onMay 11, 2010, titled Identifying and Tracking Digital Images WithCustomized Metadata, such as in FIGS. 8 and 9. In some embodiments,subject data is provided by the subject, someone associated with thesubject (such as a parent, colleague, or the group coordinator G). Someor all of the subject data can be stored within metadata of the subjectimages 102, or separate from the subject images 102, such as in asubject data file. The images 102 and subject data 104 are associatedwith each other, so that subject data for subject 1 is associated withsubject images 102 ¹ for the same subject, and so on for all subjects.

Examples of subject data can include a subject name, a subjectidentification number (school ID number, company ID number, driver'slicense number, social security number, etc.), group affiliation data (aschool, a class, a team, a club, a business unit, a department, etc.),physical characteristic data (subject height, subject weight, subjectclothing color, subject skin color, subject hair color, subject hairheight, etc.), body position data (coordinates of body parts such asjoints, hands, feet, head, facial features, etc.), pose data (e.g., anidentification of the subject's pose in one or more subject images, suchas the direction the subject is facing, whether the subject is standing,kneeling, sitting, or laying down, whether the arms are straight, bent,or crossed, whether the subject is holding a prop), or any other desiredinformation about or related to the subjects in the subject images 102.

In another possible embodiment, some or all of the subject data 104 canbe provided directly to the assembly station 126, rather than (or inaddition to) the photography station. For example, the subjects 1-4and/or a group coordinator G (or other persons) can provide some or allof the subject data to the assembly station before or after subjectimages 102 are captured. As one example, a school employee acts as thegroup coordinator G for the students of the school. The school employeeprovides subject data including the names, identification numbers, andgroup affiliation data. The group affiliation data identifies thestudents in each grade (Kindergarten, first, second, third, etc.), thestudents in a club (the baseball team, the debate club, the yearbookcommittee, etc.), or any other group affiliations.

The assembly station 126 typically includes one or more computingdevices 128. An example of the computing device 128 is illustrated anddescribed herein with reference to FIG. 5. The computing device 128typically includes at least a processing device and one or more computerreadable storage media.

The group assembler 106 is executed by one or more computing devices 128in some embodiments. In some embodiments the group assembler 106 isstored in computer readable storage media and includes instructions thatare executable by the processing device to perform the operations of thegroup assembler 106. An example of the group assembler 106 isillustrated and described in more detail with reference to FIG. 6.

The data store 129 is provided to store data used by and generated bythe group assembler 106, such as the subject images 102 and subject data104 received from the photography stations 122. The data store 129typically includes one or more computer readable storage media thatoperate to store digital data. The data store 129 can be part of thecomputing device 128 or separate from but in data communication with thecomputing device 128. An example of the data store 129 is alsoillustrated and described in more detail herein with reference to FIG.6.

The group assembler 106 generates the assembled group image 108 from thesubject images 102, as shown in FIG. 1. Additional details regardingexemplary embodiments of the group assembler 106 are illustrated anddescribed in more detail herein with reference to FIGS. 6-17.

In some embodiments the assembled group image 108 is provided to aproduction station 130, which generates products 132 from or includingthe assembled group image 108. In some embodiments, the productionstation 130 includes a printer that generates a print of the assembledgroup image 108 on photographic paper. The print can be the finalproduct, or the print can be part of the product, such as a yearbook,scrapbook, business publication, calendar, keychain, and the like. Insome embodiments, the assembled group image 108 is applied to an object,such as a t-shirt or a coffee mug.

The production station 130 includes a computing device. For example, insome embodiments the production station 130 uses the computing device tosave the assembled group image 108 on a computer readable storagemedium, such as a CD, DVD, or a memory card or stick. In anotherpossible embodiment, the production station 130 includes a web servercomputing device, which is in data communication with a datacommunication network, such as the Internet. The web server candistribute a digital product including the assembled group image 108across the data communication network, such as through a web page, in ane-mail message, through a text message, or by other data communicationtechniques.

The products 132 are ultimately delivered to customers C by personaldelivery, mail, or electronic data communication, as several examples.The products may be first delivered to an intermediary, such as thegroup coordinator G, who then distributes the products 132 to theappropriate customer (e.g., C1, C2, or C3).

FIG. 3 is a schematic block diagram of an example of the photographystation 122, shown in FIG. 2.

Additional information regarding the exemplary photography station 122can be found in co-pending and commonly assigned U.S. Patent ApplicationSer. No. 61/620,254, filed on Apr. 4, 2012, and titled PHOTOGRAPHYSTATION WITH DEPTH AND POSITION DETECTION, the disclosure of which ishereby incorporated by reference in its entirety.

In this example, the photography station 122 includes a digital camera124, a depth and position detection device 140, and a computing device142. In some embodiments, the photography station 122 further includesone or more of: a controller 144, lights 146, a handheld control 148,and a background 156. The lights 146 can include one or more lights,such as foreground lighting 152 and background lighting 154.

The photography station 122 operates to capture one or more photographsof one or more subjects (e.g., subject 1), and can also operate tocollect additional information about the subject, such as depth data andbody position data, as described herein. In some embodiments, thephotography station 122 is controlled by a photographer P, who interactswith the subject to guide the subject to a good expression, andindicates to the photography station when the image should be captured.

The digital camera 124 operates to capture digital images of the subject1. The digital camera 124 is typically a professional quality digitalcamera that captures high quality photographs.

The depth and position detection device 140 operates to detect the depthof objects within the field of view, and also operates to detect thebody position of one or more subjects in the field of view. Examples ofdevices that can operate as part or all of the depth and positiondetection device 140 include the KINECT™ device for the XBOX® video gamesystem, the PS1080 System on Chip from PrimeSense, Ltd., the NiteMiddleWare, also from PrimeSense, LTD, the Xtion PRO (e.g., Part No.90IW0112-B01UA) depth sensor or the RGB & depth sensor provided byASUS®. Additional information and downloadable software modules are alsoavailable from the OpenNI® (currently available at openni.org).

During use, the depth and position detection device 140 and digitalcamera 124 are typically arranged near to each other, so that imagescaptured by the two devices contain similar views of the subject 1. Thedepth and position detection device 140 can be synchronized by thedigital camera or the controller 144 so that they both capture therespective images at the same time. When synchronized, the body positionof the subject is the same or nearly the same in both of the images. Insome embodiments, synchronization causes the digital images (and otherdata) of the digital camera 124 and of the depth and position detectiondevice to be captured within about 10 to about 50 milliseconds of eachother. Some embodiments capture the images within about 30 to about 35milliseconds of each other.

In some embodiments, data from the digital camera 124 and the depth andposition detection device 140 is supplied to a computing device 142. Anexample of a computing device is illustrated and described in moredetail with reference to FIG. 5.

The computing device 142 can be directly or indirectly connected to thedigital camera 124 and depth and position detection device 140 toreceive digital data. Direct connections include wired connectionsthrough one or more communication cables, and wireless communicationusing wireless communication devices (e.g., radio, infrared, etc.).Indirect connections include communication through one or moreintermediary devices, such as a controller 144, other communicationdevices, other computing devices, a data communication network, and thelike. Indirect connections include any communication link in which datacan be communicated from one device to another device.

Some embodiments further include a controller 144. The controller 144operates, for example, to synchronize operation of the digital camera124 and/or the depth and position detection device 140 with the lights146. Synchronization can alternatively be performed by the computingdevice 142 in some embodiments.

A handheld control 148 is provided in some embodiments for use by thephotographer P. The handheld control 148 can include a capture button,for example, that is pressed by the photographer P to initiate thecapture of an image with the digital camera 124 and the detection ofdepth and position data with the depth and position detection device140.

Some embodiments further include a data input device, such as a barcodescanner, which may be integrated with the handheld control 148, or aseparate device. The barcode scanner can be used to input data into thephotography station 122. For example, the subject 1 can be provided witha card containing a barcode. The barcode is scanned by the data inputdevice to retrieve barcode data. The barcode data includes, or isassociated with, subject data that identifies the subject. The barcodedata can also include or be associated with additional data, such asorder data (e.g., a purchase order for products made from the images),group affiliation data (e.g., identifying the subject as beingaffiliated with a school, church, business, club, sports team, etc.), orother helpful information. The computing device 142 can alternatively,or additionally, operate as the data input device in some embodiments.

Lights 146 include one or more lights that operate to illuminate thesubject 1 and/or the background 156. Some embodiments include theforeground light 152 and the background light 154. The foreground light152 can include multiple lights, such as a main light and a fill light.Each of these lights, and the background light 154, can similarlyinclude one or more light sources. Examples of light sources includeincandescent bulbs, fluorescent lamps, light-emitting diodes, anddischarge lamps.

The foreground light 152 is arranged at least partially forward of thesubject 1 to illuminate the subject. Because the background 156 istypically positioned behind the subject 1, the foreground light 152 mayalso illuminate the background 156.

The background light 154 is arranged and configured to illuminate thebackground 156. In some embodiments the background light 154 is arrangedat least partially forward of the background, to illuminate a forwardfacing surface of the background. In other embodiments, the backgroundlight 154 is arranged at least partially behind the background, toilluminate a translucent background 156 from behind.

The foreground and background lights 152 and 154 are operatedindependently in some embodiments. For example, in some embodiments afirst lighting condition is generated in which the background 156 isilluminated, while a first digital image is captured by the digitalcamera 124. A second lighting condition is generated in which at leastthe foreground (e.g., subject 1) is illuminated, while a second digitalimage is captured by the digital camera 124. The first and seconddigital images can then be processed to separate the foreground object(e.g., subject 1) from the background.

Additional exemplary details regarding the generation and timing of suchlighting conditions, the process by which a foreground object can beseparated from a background, and the replacement of the background witha different background art image are provided in U.S. Pat. No.7,834,894, titled Method and Apparatus for Background Replacement inStill Photographs, the entire disclosure of which is hereby incorporatedby reference.

The background 156 is typically a sheet of one or more materials that isarranged behind the subject 1 while an image of the subject 1 iscaptured. In some embodiments the background 156 is translucent, suchthat at least some of the light from the background light 154 is allowedto pass through. Typically the background 156 has a monochromatic color.In a preferred embodiment, the background 156 has a color, such as gray,that does not substantially add color to the subject in a digital image.In some embodiments, the background 156 is smooth, such that it has novisible pattern or fabric texture. An example of a suitable material isa rear projection screen material. Other embodiments illuminate thebackground 156 from the front (but behind the subject 1), such thatbackground 156 need not be translucent. An example of a suitablematerial for the background 156, when front illumination is used, is afront projection screen material.

In other possible embodiments, the photography station 122 does notinclude background 156. Instead, another object, such as a curtain,wall, room, building, landscape, and the like, functions as thebackground.

Some preliminary processing operations are performed on the digitalimages by the digital camera 124, the computing device 142, or thecontroller 144, in some embodiments, before the subject images 102 aresent to the assembly station 126 for further processing. For example, insome embodiments the subject portions of the images are separated fromthe background portions, and the background portions are discarded.Other operations described herein as being performed by a separatecomputing device, can alternatively be performed at the photographystation 122 in another embodiments.

A wide variety of alternative photography stations 122 can be used inother embodiments. For example, in some embodiments the photographystation 122 includes a background having a single uniform color, such asgreen or blue (sometimes referred to as a green screen or a bluescreen). Chroma key processing techniques can be used at the photographystation or by a pre-processing engine described herein, to separate thebackground portion from the subject portion.

FIG. 4 is a schematic block diagram illustrating examples of subjectimages 102 and associated subject data 104, such as generated by thephotography station 122 (shown in FIGS. 2-3). This example illustratesthe images captured of subject 1, including subject image 102 ^(1A) and102 ^(1B).

In some embodiments, the subject images 102 ^(1A) and 102 ^(1B) includemetadata 170 ^(A) and 170 ^(B), respectively, which can be used toassociate the images 102 with the subject data 104 ¹. In this example, asubject identifier (“Subject 1”) is stored within the image metadata170.

Subject data 104 ¹ includes the subject identifier (“Subject 1”).Because the images 102 and subject data 104 both include the samesubject identifier, the images and subject data 104 can be associatedwith each other.

Examples of subject data 104 include a name, student identificationnumber, height (such as detected by the depth and position detectiondevice 140, shown in FIG. 3), group affiliation, group status, andimage-specific data. The image-specific data contains data regarding aspecific image. Examples of image-specific data include a poseidentifier, body point coordinates (e.g., center of head point, shoulderpoints, elbow points, hand points, etc.), and camera zoom. Subject data104 can include more, less, or different information, as desired.

FIGS. 5-17 describe exemplary aspects of the assembly station 126, shownin FIG. 2.

FIG. 5 illustrates an exemplary architecture of a computing device thatcan be used to implement aspects of the present disclosure, includingany of the plurality of computing devices described herein. Thecomputing device illustrated in FIG. 5 can be used to execute theoperating system, application programs, and software modules (includingthe software engines) described herein. By way of example, the computingdevice will be described below as the computing device 128 of theassembly station 126, shown in FIG. 2. To avoid undue repetition, thisdescription of the computing device will not be separately repeatedherein for each of the other computing devices, including the computingdevice 142, but such devices can also be configured as illustrated anddescribed with reference to FIG. 5.

The computing device 128 includes, in some embodiments, at least oneprocessing device 180, such as a central processing unit (CPU). Avariety of processing devices are available from a variety ofmanufacturers, for example, Intel or Advanced Micro Devices. In thisexample, the computing device 128 also includes a system memory 182, anda system bus 184 that couples various system components including thesystem memory 182 to the processing device 180. The system bus 184 isone of any number of types of bus structures including a memory bus, ormemory controller; a peripheral bus; and a local bus using any of avariety of bus architectures.

Examples of computing devices suitable for the computing device 128include a desktop computer, a laptop computer, a tablet computer, amobile computing device (such as a smart phone, an iPod® or iPad® mobiledigital device, or other mobile devices), or other devices configured toprocess digital instructions.

The system memory 182 includes read only memory 186 and random accessmemory 188. A basic input/output system 190 containing the basicroutines that act to transfer information within computing device 128,such as during start up, is typically stored in the read only memory186.

The computing device 128 also includes a secondary storage device 192 insome embodiments, such as a hard disk drive, for storing digital data.The secondary storage device 192 is connected to the system bus 184 by asecondary storage interface 194. The secondary storage devices 192 andtheir associated computer readable media provide nonvolatile storage ofcomputer readable instructions (including application programs andprogram modules), data structures, and other data for the computingdevice 128.

Although the exemplary environment described herein employs a hard diskdrive as a secondary storage device, other types of computer readablestorage media are used in other embodiments. Examples of these othertypes of computer readable storage media include magnetic cassettes,flash memory cards, digital video disks, Bernoulli cartridges, compactdisc read only memories, digital versatile disk read only memories,random access memories, or read only memories. Some embodiments includenon-transitory media. Additionally, such computer readable storage mediacan include local storage or cloud-based storage.

A number of program modules can be stored in secondary storage device192 or memory 182, including an operating system 196, one or moreapplication programs 198, other program modules 200 (such as thesoftware engines described herein), and program data 202. The computingdevice 128 can utilize any suitable operating system, such as MicrosoftWindows™, Google Chrome™, Apple OS, and any other operating systemsuitable for a computing device. Other examples can include Microsoft,Google, or Apple operating systems, or any other suitable operatingsystem used in tablet computing devices.

In some embodiments, a user provides inputs to the computing device 128through one or more input devices 204. Examples of input devices 204include a keyboard 206, mouse 208, microphone 210, and touch sensor 212(such as a touchpad or touch sensitive display). Other embodimentsinclude other input devices 204. The input devices are often connectedto the processing device 180 through an input/output interface 214 thatis coupled to the system bus 184. These input devices 204 can beconnected by any number of input/output interfaces, such as a parallelport, serial port, game port, or a universal serial bus. Wirelesscommunication between input devices and the interface 214 is possible aswell, and includes infrared, BLUETOOTH® wireless technology,802.11a/b/g/n, cellular, or other radio frequency communication systemsin some possible embodiments.

In this example embodiment, a display device 216, such as a monitor,liquid crystal display device, projector, or touch sensitive displaydevice, is also connected to the system bus 184 via an interface, suchas a video adapter 218. In addition to the display device 216, thecomputing device 128 can include various other peripheral devices (notshown), such as speakers or a printer.

When used in a local area networking environment or a wide areanetworking environment (such as the Internet), the computing device 128is typically connected to the network through a network interface 220,such as an Ethernet interface. Other possible embodiments use othercommunication devices. For example, some embodiments of the computingdevice 128 include a modem for communicating across the network.

The computing device 128 typically includes at least some form ofcomputer readable media. Computer readable media includes any availablemedia that can be accessed by the computing device 128. By way ofexample, computer readable media include computer readable storage mediaand computer readable communication media.

Computer readable storage media includes volatile and nonvolatile,removable and non-removable media implemented in any device configuredto store information such as computer readable instructions, datastructures, program modules or other data. Computer readable storagemedia includes, but is not limited to, random access memory, read onlymemory, electrically erasable programmable read only memory, flashmemory or other memory technology, compact disc read only memory,digital versatile disks or other optical storage, magnetic cassettes,magnetic tape, magnetic disk storage or other magnetic storage devices,or any other medium that can be used to store the desired informationand that can be accessed by the computing device 128.

Computer readable communication media typically embodies computerreadable instructions, data structures, program modules or other data ina modulated data signal such as a carrier wave or other transportmechanism and includes any information delivery media. The term“modulated data signal” refers to a signal that has one or more of itscharacteristics set or changed in such a manner as to encode informationin the signal. By way of example, computer readable communication mediaincludes wired media such as a wired network or direct-wired connection,and wireless media such as acoustic, radio frequency, infrared, andother wireless media. Combinations of any of the above are also includedwithin the scope of computer readable media.

The computing device illustrated in FIG. 5 is also an example ofprogrammable electronics, which may include one or more such computingdevices, and when multiple computing devices are included, suchcomputing devices can be coupled together with a suitable datacommunication network so as to collectively perform the variousfunctions, methods, or operations disclosed herein.

FIG. 6 is a schematic block diagram illustrating an example of theassembly station 126 (shown in FIG. 2). In this example, the assemblystation includes the group assembler 106 and the data store 129. Thisexample of the group assembler 106 includes a pre-processing engine 240,a preliminary subject layout engine 242, an image selection engine 246,a subject height adjustment and scaling engine 248, a rendering engine250, and a shadow generator 252. This example of the data store 129includes historical layout definitions 260, image database 262(including subject images 102 and subject data 104), and assembled groupdata 264 (including subject position data 270, processed subject images272, and artwork and text data 274.

Each of the components of the exemplary assembly station 126 will bebriefly discussed below, followed by more detailed examples that aredescribed with reference to FIGS. 7-17.

The pre-processing engine 240 is provided in some embodiments to performsome initial processing operations on the subject images 102 receivedfrom the photography stations 122. The processing can include, forexample, color profile adjustments, face finding operations, andlighting adjustment. An example of the pre-processing engine 240 isdescribed in more detail with reference to FIG. 7.

The preliminary subject layout engine 242 operates to define apreliminary layout of the subject images 102 for the assembled groupimage 108. In some embodiments, the preliminary subject layout data isstored in the historical layout definitions 260, for subsequent reuse bythe preliminary subject layout engine 242. An example of the preliminarysubject layout engine 242 is described in more detail with reference toFIG. 8-9.

The image selection engine 246 operates to retrieve (or identify)subject images 102 from the image database 262. In some embodiments, theimage selection engine 246 receives a request for a subject image 102from another engine (such as the preliminary subject layout engine 242).The request can include one or more selection criteria. The imageselection engine 246 then conducts a search through the subject images102 and subject data 104 to identify the subject images 102 that matchthe criteria. The image selection engine 246 then sends a replyincluding (or identifying) the next subject image 102 matching thecriteria. An example of the image selection engine 246 is described inmore detail with reference to FIG. 11.

The subject height adjustment and scaling engine 248 operates to selectand insert images into the assembled group image 108. In someembodiments, the subject height adjustment and scaling engine 248 makesadjustments to the preliminary subject layout, such as to adjust thesubject images 102 based on the subject's height, and to scale theimages to make the images appear to be in proper perspective (such thatimages in the front row are larger than images in the back row). Anexample of the subject height adjustment and scaling engine 248 isdescribed in more detail with reference to FIG. 12-13.

The rendering engine 250 is provided to generate the assembled groupimage 108, such as by arranging each of the processed subject images 272together in a single high quality image, and adding the appropriateartwork and text. An example of the rendering engine 250 is described inmore detail with reference to FIG. 14.

The shadow generator 252 is provided to insert shadows. The shadows canbe added to simulate various possible lighting scenarios. An example ofthe shadow generator 252 is described in more detail with reference toFIG. 15-16.

Assembled group data 264 stores data that is used by the group assembler106. In this example, the assembled group data 264 includes subjectposition data 270, processed subject images 272, and artwork and textdata 274.

The subject position data 270 contains data that identifies thepositions where the processed subject images 272 should be arrangedwithin the assembled group image 108. This data is initially defined bythe preliminary subject layout engine 242, and subsequently modified bythe subject height adjustment and scaling engine 248. The subjectposition data 270 can also include sizing information from the subjectheight adjustment and scaling engine 248.

The processed subject images 272 are the final subject images after allprocessing has been completed. For example, the processed subject images272 may include color, scale, or lighting adjustments that are made tothe subject images 102 that are originally received from the photographystations 122.

Additional artwork and text can be included in the assembled groupimages 108, and such artwork or text is stored in the artwork and textdata 274 in some embodiments. The artwork can include a background artimage to be used as the final background of the assembled group image,for example. The artwork can also include logos, graphics, icons, andthe like to be included in the assembled group image. Text, such as aname of the group, a year, names of the subjects, etc. can also beincluded in the assembled group image 108 if desired. The exampleassembled group image 108 shown in FIG. 1 illustrates one example of anassembled group image 108 including a background art image, a schoolname, logos, a group identifier (“6^(th) Grade Class”), and the schoolyear.

FIG. 7 is a flow chart illustrating an example method 280 of processingsubject images. FIG. 7 is also an example of the operations performed bythe pre-processing engine 240, shown in FIG. 6, to modify a subjectimage 102 received from the photography station 122 (FIG. 1). In thisexample, method 280 includes operation 282, 284, and 286.

The operation 282 performs a color profile adjustment on the subjectimage 102. Because the subject images 102 can be captured from multipledifferent photography stations 122, and may be captured with differentcameras 124, the subject images 102 can have different formats.Operation 282 operates to transform each of the subject images 102 fromthe native color space(s) into a common color space to be used by thegroup assembler 106. As one example, the subject images 102 areconverted into the sRGB (standard red-green-blue) color space.

In some embodiments, the operation 284 is performed to evaluate thesubject image to identify face or other body points within the image. Insome embodiments, operation 284 utilizes commercially available facefinding software. An example of a commercially available face findingsoftware is the VisPro-ware Software Development Kit previouslydistributed by NextgenID, Inc. of San Antonio, Tex. The operation 284can find various face points, such as the locations of the eyes,inter-eye center point, top of head, sides of head, chin, mouth, andnose. The operation 284 can also operate to identify body points, suchas the locations of body joints (i.e., shoulders, elbows, wrists,fingers, neck, hips, knees, and ankles; and other body points, such asthe hands, head, torso, feet, etc. In some embodiments, at least some ofthese points are determined by the photography station 122, such as theexample shown in FIG. 4, and such points are included within the subjectdata 104, such as shown in FIG. 4.

In some embodiments, body points can include points that are not visiblein the subject image. For example, if the subject image depicts thesubject only from the waist up, the operation 284 can still be performedto estimate the locations of body points that are not visible in thesubject image, such as the locations of the subject's feet, based on thelocations of points that are visible within the subject image. Theestimation can involve the use of other known information, as well, suchas the known height of the subject—which may be provided by thephotography station 122, for example, or provided by the groupcoordinator G.

The operation 286 is performed in some embodiments to adjust thelighting in the subject image. Lighting adjustment can include adjustingthe color, saturation, or contrast levels within the subject images sothat all subject images have uniform levels, such as to reduce thevariation that may be present in the images that may have been capturedat different photography stations 122, with different levels.

If the subject images 102 received from the photography stations 122contain both the subject and the background, the method 280 can alsoinclude a background removal operation in some embodiments. For example,if the photography station 122 was used to capture a backgroundilluminated image and a separate foreground illuminated image, the twoimages can be processed to separate the foreground (subject) from thebackground. If a green or blue screen is used at the photography station122, chroma key processing can be used to separate the subject from thebackground.

The resulting subject images are then stored as processed subject images272, such as shown in FIG. 6.

FIG. 8 is a flow chart illustrating an example method 290 of generatingpreliminary subject positions for an assembled group image 108. FIG. 8also illustrates exemplary operations of the preliminary subject layoutengine 242, shown in FIG. 6. In this example, the method 290 includesoperations 292, 294, 296, 298, 300, 302, and 304.

The operation 292 determines the number of subjects that are to beincluded within the assembled group image 108. The number of subjectscan be input by a user in response to a prompt, or can be automaticallydetermined, such as by determining the number of subjects for whichsubject images 102 are available in the image database 262. In anotherpossible example, the operation 292 can include identifying the numberof subjects that are associated with a group, such as performing asearch through subject data 104, to identify the number of subjects thatare affiliated with a selected group (a football team, a 6^(th) gradeclass, etc.).

The operation 294 determines the size of the workspace in whichassembled group is to be arranged. In some embodiments, the size of theworkspace is provided by a user in response to a prompt. The workspacecan be defined by a height and a width, or by an aspect ratio, forexample. In some embodiments the workspace entered by or selected by theuser is limited to the portion in which the subject images will bearranged, while in other embodiments the workspace entered by orselected by the user includes space for additional features, such asborders, text, and the like. Appropriate additions or subtractions canbe made in order to identify the size of the workspace that will beneeded for the images, not including the additional features. It shouldbe noted that although a rectangular workspace will often be used, andwill be shown in the examples used herein, the workspace can be definedas having any shape, including a circle, diamond, triangle, or any othershape. An exemplary workspace is shown in FIG. 9.

The operation 296 is performed in some embodiments to determine whethera historical layout definition has previously been generated by thepreliminary subject layout engine 242 and is already saved in historicallayout definitions 260. In some embodiments, the operation 296 checksthe historical layout definitions 260 to determine whether a historicallayout definition has previously been generated for the same number ofsubjects determined in operation 292, and for the same sized workspacedetermined in operation 294.

If the historical layout definition exists, operation 298 is performedto determine preliminary subject positions from the historical layoutdefinitions 260. If not, the preliminary subject positions aredetermined in operations 300 and 302.

In some embodiments, there may be many historical layout definitionsthat have been previously generated for a given number of subjects and agiven workspace size. The operation 298 can operate to evaluate multipleof the past assemblies to identify the preliminary subject positions tobe used in the assembled group image 108.

For example, operation 298 may begin by identifying a set of pastassemblies (e.g., 10), and identifying the number of rows and number ofsubjects per row most commonly used in the set of past assemblies. Then,the head positions of the set of past assemblies can be evaluated toidentify the average head positions for each subject, and use these headpositions as the preliminary subject positions.

In the operation 300, the number of subjects and size of the workspaceare considered to determine the appropriate number of rows andappropriate number of subjects to include in each row of the assembledgroup image 108.

In some embodiments, the number of rows is determined using thefollowing equations:workspace width (W1)=(# of subjects per row−1)×(ratio of head space tohead size X)  Equation 1:where the ratio of head space to head size is a constant equal to theratio of W3 to W2.workspace height (H1)=(# of rows−1)×(ratio of head space to head sizeY)  Equation 2:Where the ratio of head space to head size is a constant equal to theratio of H3 to H2.# of subjects per row=# of subjects/# of rows  Equation 3:

The workspace width (W1), workspace height (H1), width multiplicationfactor (A), height multiplication factor (B), and head width (W2) andhead height (H2) are illustrated and described with reference to FIG. 9.The height (A) and width (B) multiplication factors define the desiredratios between the preliminary subject location 316 size and the subjecthead size 314, to provide an appropriate amount of space betweenadjacent subjects.

In the Equations 1-3, there are three unknown variables. Accordingly,the three equations can be used to determine the number of rows, andnumber of subjects per row.

In some situations, the number of subjects is not evenly divisible bythe number of rows, and therefore the number of subjects in each rowwill not be uniform. Further, in some embodiments the number of subjectsper row is intentionally selected to vary between two or more of therows. In fact, the aesthetics may be improved by not having uniformnumbers of subjects in each row. Once the initial number of subjects perrow is determined, as noted above, modifications can be made to alterthe actual number of subjects to be included in each of the rows, asdesired.

In some embodiments, it is desired that all of the subject's headpositions (defined by the head center points 318) be staggered fromheads in adjacent rows. For example, the following process is used insome embodiments to determine the number of subjects in each row. Thisprocess can be used, for example, when the number of people in the groupis even, and the number of rows is even.

An operation is performed to determine the ideal number of people perrow. For example, the total number of people is divided by the number ofrows.

If the resulting number is an integer, then an operation is performed toplace the same number of people in each row, and stagger each row backand forth in the horizontal dimension to make the heads stagger (anexample is shown in FIG. 10).

If the resulting number is not an integer, then an operation isperformed to round up to the next higher integer. That number ofsubjects is then placed in the first row. The operation is repeated(dividing the remaining number of people by the remaining number ofrows, and placing the next higher integer in each row) until the lastrow is reached. All remaining subjects are arranged in the last row.

This process places the largest number of people in the front row, andeach successive row will have the same number of people, or at most onefewer, than the row in front of it.

In some embodiments, in addition to staggering the head positions inadjacent rows, it is further desired that each row be centered in theworkspace 312. For example, the following additional operations areperformed in some embodiments to determine the number of subjects perrow.

An operation is performed to arrange the subjects so that the number ofsubjects per row alternates between an even and an odd number. Forexample, if the first row starts with an even number of people, thesecond row will start with an odd number of people. This continues untilthe last row is reached. If the first row starts with an odd number, thesecond row will start with an even number. Multiple solutions cantherefore be determined—one beginning with an even number in the firstrow, and one beginning with an odd number in the first row. When thelast row is reached, if it has an even number of people and the row infront of it does, too, then the arrangement is considered invalid.Similarly, if the last two rows both contain an odd number of people,then the solution is determined to be invalid.

Another set of possible arrangements is then considered. In thisoperation, the number of subjects per row is again determined, firstusing a larger number of people in the first row, with a smaller numberin the second row; and then starting with a smaller number in the frontrow, and a larger number in the second row. Two additional arrangementsare therefore determined. The arrangements are again evaluated todetermine whether the last two rows both contain an odd number, or aneven number, of subjects, and if so, that arrangement is determined tobe invalid. These operations can result in up to four validarrangements.

The valid arrangements are then evaluated to identify the preferredarrangement. In one example, the arrangements are each evaluated todetermine the difference between the numbers of people in the front andback rows. An arrangement having the smallest difference is preferredover arrangements having larger differences.

The process discussed above gives the following exemplary results. If 12people are to be arranged in 2 rows, both rows will contain 6 people. If13 people are to be arranged in 2 rows, the first row will contain 7people, and the second row will contain 6 people. If 12 people are to bearranged in 3 rows, the first row will contain 5 people, the second rowwill contain 4 people, and the third row will contain 3 people. If 13people are to be arranged in 3 rows, the first row will contain 4people, the second row will contain 5 people, and the third row willcontain 4 people. Other embodiments use other subject number selectionprocesses, and can result in other arrangements.

The operation 302 is performed to determine the preliminary subjectpositions within the workspace. Once the number of rows and number ofsubjects per row has been determined, the preliminary subject positionscan be defined by preliminary head center points, which can becalculated. The preliminary subject positions are often selected todistribute subjects evenly throughout the workspace, although an evendistribution is not required. Layout rules can be defined (or can beinput by a user, such as the group coordinator G, shown in FIG. 2, oranother user) to customize the preliminary layout positions, in someembodiments.

The operation 304 is performed to save the preliminary subject positionsin the historical layout definitions 260 (shown in FIG. 6).

FIG. 9 illustrates an example preliminary subject layout 310 for anassembled group image, such as generated by the preliminary subjectlayout engine 242 (FIG. 6) using the method 290 (FIG. 8). FIG. 9 depictsthe preliminary subject layout 310 for a workspace 312. The preliminarysubject layout 310 includes preliminary subject positions 316 andpreliminary head center points 318. The dimensions of the average headsize 314 are also illustrated in FIG. 9.

In this example, the workspace 312 has a width W1 and a height H1 (andtherefore an aspect ratio of W1:H1). Also, in this example adetermination has been made that there are a total of twelve subjectimages that are to be arranged within the workspace 312.

It is typically desired that there be space between adjacent images in agiven row. As a result, the actual head sizes 314 are selected to besmaller than the preliminary subject positions. The width W3 can bedetermined by dividing the total width (W1) of the workspace 312, by thenumber of subjects for the given row. Similarly, the height H3 can bedetermined by dividing the total height (H1) of the workspace 312 by thenumber of rows.

Once the preliminary subject position sizes are known, the head sizes314 can be determined using defined height (A) and width (B)multiplication factors according to the following equations:H2=H3/A  Equation 4:W2=W3/B  Equation 5:

In some embodiments, the height multiplication factor (A) is in a rangefrom about 1.1 to about 1.5, such as about 1.25. A height multiplicationfactor (A) of 1 would position the bottoms of the subject's heads in row3 at approximately the same location as the tops of the subject's headsin row 2, for example. A height multiplication factor (A) of greaterthan 1 provides additional vertical spacing between the subjects inadjacent rows. A height multiplication factor (A) of less than oneresults in overlap between subject's heads in adjacent rows.

In some embodiments, the width multiplication factor (B) is in a rangefrom about 1.2 to about 1.8, such as about 1.5. A width multiplicationfactor (B) of 1 would result in no horizontal space between thesubject's heads in a given row. A width multiplication factor (B) ofgreater than 1 provides additional horizontal spacing between thesubjects that are in the same row. A width multiplication factor (B) ofless than one results in overlap between adjacent subject's heads.

In some embodiments, the process operates to identify the number of rowsand number of subjects per row that results in the least amount ofunused space in workspace 312. For example, while it would be possibleto arrange all twelve of the preliminary subject positions 316 in asingle row, the images would have to be scaled to approximately 1/12 ofthe width W1. This would result in a large area of workspace 312 aboveand/or below the preliminary subject positions 316 that would be unused.The same would be true if each preliminary subject position 316 wasplaced in its own row, such that the images would have to be scaled toapproximately 1/12 of the height H1 of workspace 112.

In the example shown in FIG. 9, it is determined that the workspace 112can be most fully utilized by arranging the preliminary subjectpositions in three rows (including rows 1, 2, and 3), with fourpreliminary subject positions in each row.

Although the workspace 312 is illustrated as having a single rectangularshape, in other possible embodiments the workspace 312 can have anyshape, and may even include multiple sections. Whatever the size andshape of the workspace, preliminary subject positions 316 are identifiedto best arrange the desired number of subject images within that space.Further, the arrangement can be determined based on one or more layoutrules. The height (A) and width (B) multiplication factors are examplesof layout rules, which influence the amount of spacing provided betweenthe subjects. Other layout rules can also be provided, such as apredefined number of rows, or number of subject's per row. In someembodiments, the layout rules are received from a customer or the groupcoordinator G, as part of the other order information.

Once the number of rows and number of preliminary subject positions 316to be included in each of the rows has been determined, the specificpositions of each of the preliminary subject positions 316(a-1) aredetermined for the workspace 312. In some embodiments, theidentification of the positions involves the computation of a centerpoint 318(a-1) for each preliminary subject position 316(a-1). Thecenter point 318 is defined by coordinates (X,Y), in some embodiments,such as based on a number of horizontal (X) and vertical (Y) pixels froman origin (such as at the top left of the workspace 312). In thisexample, the preliminary subject positions 316 are arranged side-by-sideand vertically and horizontally centered in the workspace 312, leaving asmall margin of unused spaced adjacent the perimeter of workspace 312.

A first preliminary subject position 316 a is defined, for example, nearthe upper left corner of the workspace 312. A center point 318 a isidentified having coordinates (X1,Y1). The coordinate X1 is computed asone half of the width W3 of the preliminary subject position 316 a, plusthe width of the unused margin space to the left of the preliminarysubject position 316 a. The coordinate Y1 is similarly computed as onehalf of the height H3, plus the height of the unused margin space to thetop of the preliminary subject position 316 a. In some embodiments, thepoint 318 is shifted from the center.

The other center points 318 are also computed. For example, because inthis example a horizontal space between adjacent center points (e.g.,318 a and 318 b) is equal to the width W3, the center point 318 b can becomputed, where the Y-coordinate is Y1, and where X2=X1+W3. The centerpoint 318 e is computed, where the X-coordinate is X1, and whereY2=Y1+H3. The remaining center points 318 are similarly computed.

In some embodiments, the final row positions are determined as follows.First, the vertical position of the bottom row is determined. The scaleof the front row of people is set by the desired head size, which hasalready been calculated. The vertical position of the front row is thenplaced such that the subjects are visible from about mid-thigh up. Next,the bottom of the next row is positioned a distance (H3) above thatlocation. Each subsequent row is similarly positioned above the bottomof the previous row. However, in some embodiments a scaling factor isapplied, as discussed in more detail herein. For example, if a scalingfactor reduces the size of each row by 3%, the distance (H3) can bemultiplied by 0.97 to determine a scaled position for the bottom of eachsubsequent row above the previous row.

In some embodiments, the preliminary subject positions 316 also includea z-order. The z-order defines a priority of images in the event ofoverlap, where a preliminary subject position (e.g., 316 a) having alower z-order (e.g., Z=0) will be hidden by any portion of another imagein a preliminary subject position (e.g., 316 b) having a higher z-order(e.g., Z=1). The z-order provides the appearance of certain subjectsbeing arranged forward of other subjects in the final assembled groupimage 108. Typically the preliminary subject positions 316 that arearranged in vertically lower rows (e.g., row 1) will have a z-order thatis higher than the z-order of preliminary subject positions 316 that arearranged in vertically higher rows (e.g., rows 2 or 3), to make thesubjects in row 1 appear to be in front of subjects in rows 2 and 3.

Once the preliminary subject positions 316 have been determined for theworkspace 312, data defining the preliminary subject positions 316 isstored in a computer readable storage device. In some embodiments, thedata is saved as historical layout definitions for subsequent use. Asone example, the data stored can include one or more of the following:the size (H1 and W1) of the workspace 312, the aspect ratio (H1:W1) ofthe workspace 312, the number of preliminary subject positions (e.g.,number of subject images that can be) included in the workspace, thesize (H2 and W2) of the average head sizes (H2 and W2) 314, the aspectratio (H2:W2) of the average head sizes 314, the height (A) and width(B) multiplication factors, the size (H3 and W3) of the preliminarysubject positions, the aspect ratio (H3:W3) of the preliminary subjectpositions, and the center points 318 of the preliminary subjectpositions 316.

Once the preliminary subject positions 316 have been generated andsaved, in some embodiments they are made available for reuse ashistorical layout definitions 260 (shown in FIG. 6). An example of thisprocess is illustrated and described in FIG. 8, with reference tooperations 296, and 298. As one example, if another request issubsequently made having a similar aspect ratio and shape (e.g.,rectangular, circular, etc.), and requesting that the same or a similarnumber of subject images be included in the workspace, the preliminarysubject positions 316 can be retrieved from the historical layoutdefinitions 260 and reused so that the computations described herein donot have to be repeated each time. It should be noted that in someembodiments the preliminary subject positions 316 are defined withoutregard to the specific images to be inserted at those locations (otherthan the average head sizes of all of the subject images). Accordingly,no image-specific adjustments have been made to the preliminary subjectpositions 316 at this point, permitting the data to be more easilyreused with a different set of images.

FIG. 10 illustrates another example preliminary subject layout 310 foran assembled group image. This example is the same as the example shownin FIG. 9, except that the preliminary subject positions 316 (andpreliminary head center points 318) are offset in adjacent rows. Offsetpositions can improve the aesthetics of the assembled group image 108and make the image 108 appear more natural.

The offset preliminary subject positions require more space within theworkspace 312, because of the unused space (e.g., toward the left inrows 1 and 3, and toward the right in row 2). As a result, equationssimilar to equations 1-3 can be modified accordingly to compute thenumber of rows and number of subjects per row.

In some embodiments, after the preliminary subject positions have beendetermined, the rows are centered in the workspace 312 to providesubstantially equal margins on the left and the right sides. To do so,an offset is calculated that is needed to make the left and rightmargins equal for that row. That offset is then applied to every personin the group, so that the entire group appears centered in the workspace312.

FIG. 11 is a flow chart illustrating an example method 340 of selectingsubject images 102 from an image database. FIG. 11 also illustratesexample operations of the image selection engine 246, shown in FIG. 6.

In some embodiments, the group assembler, such as shown in FIG. 6,includes an image selection engine 246 that is used to identify andselect an appropriate subject image from the multiple available subjectimages 102 stored in the image database 262. For example, the subjectheight adjustment and scaling engine 248 can be used to submit a requestto the image selection engine 246 identifying image criteria for thenext subject image. The image selection engine 246 then processes therequest as shown in FIG. 11, and returns an appropriate subject imagefor further use by the subject height adjustment and scaling engine 248.

In the example shown in FIG. 11, the method 340 includes operations 342,344, 346, and 348.

Operation 342 is performed to receive the image criteria. The imagecriteria can specify one or more criteria for the next image to bereturned. The most basic criterion would simply be a request for thenext image, which permits the image selection engine 246 to determine onits own which of the images should be provided. In other cases, however,the image criteria can specify particular characteristics of the desirednext image. One example of such a characteristic is a particular subjectpose, such as a pose in which the subject is facing toward the right. Itmay look awkward for a subject arranged at the left side of an image tobe facing away from the group, for example, and therefore the imagecriteria can request that an image be provided in which the subject isfacing to the right—toward the rest of the group. Poses can specify anyposition or arrangement of the subject, such as the direction that thesubject is facing, the position of the subject's arms (e.g., folded,straight, bent), and the like. Alternatively, the image criteria caninclude criteria relating to the subject in the image. For example, theimage criteria can request an image of the next subject by player numberon the football team, an image of the next subject according to analphabetical order, or an image of the next subject according to aheight order (e.g., tallest to shortest, or shortest to tallest).

Operation 344 is then performed to evaluate the subject images 102 toidentify a subset of the images that match the image criteria. In someembodiments, operation 344 utilizes subject data 104 to determinewhether subject images 102 match the image criteria, by comparing theimage criteria to data stored in the subject data 104 associated witheach image. For example, a search is conducted to identify all subjectshaving a desired pose. As another example, a search is conducted toidentify all subjects on the football game having an assigned playernumber. If multiple criteria are specified, operation 344 identifies thesubset of images 102 that match the multiple criteria.

Operation 346 is performed to select an image from the subset of imagesthat match the criteria. In some embodiments, one or more rules aredefined that permit the selection of a single subject image 102 in theevent that multiple possible subject images 102 are available that matchthe image criteria. For example, the rule can specify that subjectimages 102 be processed according to a predetermined order, such asalphabetically by name, chronologically by date and time the image wastaken, consecutively by subject identifier, player number, relativeheight, or image number. In yet another embodiment, the image israndomly selected from the subset of images.

Operation 348 is performed to return the image selected in operation346. In some embodiments, returning the image involves retrieving a copyof the subject image 102 from the image database 262 (FIG. 6). In otherembodiments, the operation returns an image identifier, which permitsthe subject image 102 to be uniquely identified and subsequentlyaccessed from the image database 262.

FIG. 12 is a flow chart illustrating an example method 370 of placingsubject images 102 into an assembled group image 108. FIG. 12 alsoillustrates exemplary operations of the subject height adjustment andscaling engine 248, shown in FIG. 6. In this example, the method 370includes operations 372, 374, 376, 378, 380, and 382.

In some embodiments, the method 370 is repeated for each subject imagethat is included within an assembled group image 108.

Operation 372 is performed to determine image criteria for a subjectimage, such as based on the location of the corresponding preliminarysubject position 316 in the workspace 312 (as shown in FIG. 9), such asto request a subject having a desired pose. As another example, theoperation 382 is performed to determine image criteria based on whatother subject images have already been processed for the group assembledimage, such as to request the subject having the next name in thealphabet, or the next player number.

Operation 374 is then performed to request a subject image that matchesthe image criteria. For example, a request identifying the imagecriteria is sent to the image selection engine 246, which returns asubject image matching the image criteria, as described with referenceto FIG. 11.

Once the subject image 102 is identified in operation 374, the subjectdata 104 corresponding to the subject in the subject image 102 can alsobe identified. In some embodiments, operation 376 is performed toretrieve subject height data associated with the subject in the subjectimage 102. The subject height data provides an indication of how tallthe particular subject is. As discussed herein, the subject height datacan be data provided by the subject or other person with access to suchinformation (such as the group coordinator G), or can alternatively bemeasured at the time that the subject image 102 is captured using thedepth and position detection device 140. For example, the height datacan be obtained from physical measurements, or from a record such as ateam roster containing such physical statistics of the players on theteam. In yet another possible embodiment, the subject height dataidentifies a relative height of the subject (in contrast to an actualphysical height measurement) with respect to the other subjects or to anaverage subject.

Operation 378 then determines a vertical shift factor using the subjectheight data. The vertical shift factor is a distance (such as measuredin pixels) that the subject's image should be shifted upward or downwardso as to accurately represent the subject's height as compared withother subjects in the assembled group image 108. Because it is unlikelythat all subjects would have exactly the same height, it is desirable toadjust the preliminary subject positions 316 (and more specifically, thecenter points 318) shown in FIG. 9 so that the subject images are shownhaving the appropriate height. An example is illustrated and describedin more detail with reference to FIG. 14, in which a subject having aheight greater than the average height has been assigned to thepreliminary subject position 316 a, while a subject with less thanaverage height has been assigned to the preliminary subject position 316b.

In another possible embodiment, the height differences between subjectsis scaled to reduce the magnitude of height variations. This can improvethe aesthetics of the image, particularly if large height differencesexist between subjects in the same row, while still accurately depicting(proportionally) whether certain subjects are taller or shorter thanothers within a given row. For example, the height difference can bescaled by 0.5 (such that the apparent difference in height is ½ of theactual height difference). Any other scaling factor between 0 and 1 canbe used in other embodiments.

Final subject positions are then determined in operation 380 using thevertical shift factor of operation 378, as also shown in FIG. 13.

In some embodiments an operation 382 is also performed to determine asubject scaling factor for each of the subject images 102. The operation382 is performed to define an appropriate scaling factor to be appliedto subject images 102 so that subject images in the upper rows look atleast slightly smaller than subjects in the lower rows, giving theappearance that the subjects in the lower rows are closer than subjectsin the higher rows. Referring to the example of FIG. 9, scaling factorsare assigned so that subjects in row 1 appear slightly larger thansubjects in row 2. Similarly, scaling factors are assigned so thatsubjects in row 2 appear slightly larger than subjects in row 3.

As one example, a base scaling factor in a range from about −1% to about−5% is applied to images in adjacent rows. For example, a scaling factorof −3% can be applied to the subject images in row 2, while a scalingfactor of −6% (twice the base scaling factor) is applied to images inrow 3. Alternatively, images in rows 1 can be assigned a scaling factorof +6% and images in row 2 can be assigned a scaling factor of +3%. Asanother alternative, images in row 3 can be assigned a scaling factor of−3% and images in row 1 can be assigned a scaling factor of +3%.

Final subject position data is then typically stored in a computerreadable storage device for each subject image 102. As one example, thefinal subject position data stored can include any one or more of theitems of data stored for the preliminary subject positions, as well asone or more of: the final subject image positions, the vertical shiftfactor for each subject, the scaling factor for each subject,identifiers for each subject image 102 selected from the database, andcopies of the subject images 102.

FIG. 13 illustrates an example method of determining a vertical shiftfactor using subject height data. FIG. 13 also illustrates an example ofoperation 378, shown in FIG. 12. The method involves the use ofpreliminary subject layout 310 (described with reference to FIG. 9) andsubject height data, to determine appropriate shift factors and generatethe final subject layout 410 using the shift factors.

In this example, the preliminary subject layout 310 includes thepreliminary subject positions 316(a,b,e,f) and center points 318(a,b).The final subject layout 410 further includes final subject positions416(a,b,e,f) and center of head points 418(a,b). A projected groundlocation 420, an average subject height 422, and actual subject heights424(a,b) are also illustrated in FIG. 13.

The preliminary subject layout 310 includes preliminary subjectpositions 316(a,b,e,f) that identify the location that a subject havingan average height should be inserted into the final assembled groupimage 108 (FIG. 1). More specifically, center points 318(a,b) areprovided in some embodiments, which identify the precise location that acenter of the subject's head may be placed.

Because the subjects are not all the same height, it would lookunnatural for all of the subjects to be inserted at the same height inthe assembled group image 108. Accordingly, the preliminary subjectpositions 316(a,b) and associated center points (318 a,b) can be shiftedfor each subject. The magnitude of the shift is referred to herein asthe shift factor (SF).

The shift factor can be determined in a number of ways. For example, theshift factor can be generated randomly for each subject. In anotherembodiment, the shift factor is computed based at least in part on oneor more known characteristics of the subject, such as the subject'sgender, age, grade, or the like. For example, a subject that is known tobe a male, older, or in a higher grade, may be assigned a larger shiftfactor than subjects that do not have these characteristics.

A more accurate way to depict the subject's height, however, is toutilize subject height data. Knowing the subject's height, a shiftfactor can be computed that accurately represents the subject's heightcompared with other subjects in the assembled group image 108.

An exemplary process of computing the shift factor is illustrated inFIG. 13. To begin, recall that in some embodiments the preliminarysubject positions 316(a,b) and associated center points 318(a,b) areinitially computed for an average subject having an average head sizeand an average height, without adjustment for any particular subject'scharacteristics.

As a result of this, an average top of head location 423 can be computedas a location above the center of head point 418 a distance one-half ofthe average head height.

The average subject height 422 can then be used to determine thelocation of a projected ground location 420, which can be used for allsubjects in a given row. The projected ground location 420 is simply acoordinate or other location identifier utilized for ease ofcomputation. In fact, the projected ground location 420 may oftenrepresent a location outside of the boundaries of the workspace 312.

Once the projected ground location 420 has been determined, the actualsubject height data 426 for one or more subjects can be used to computethe appropriate shift factors. In this example, the subject assigned topreliminary subject position 316 a is determined to have an actualsubject height 426 a. Accordingly, the actual top of head location 428 ais determined to be that distance (the actual subject height 426 adistance) above the projected ground location 420. The shift factor SFafor this subject is then computed, such as by computing the distancebetween the average top of head location 423 and the actual top of headlocation 428 a. The same shift factor SFa can then be used to determinea final center of head point 418 a, which is shifted a distance from thepreliminary center point 318 a equal to the shift factor.

The same process can be repeated for additional subjects and subjectpositions in the same or other rows. For example, the second subjectassigned to preliminary subject position 316 b can be evaluated. Becausethe preliminary subject position 316 b is in the same row as thepreliminary subject position 316 a, the same average subject height 422and projected ground location 420 can be used. The actual subject height424 b is then determined to compute the actual top of head location 428b for the subject. The shift factor SFb is then computed as thedifference between the actual subject height 424 b and the averagesubject height 422. In this example, the actual subject is shorter thanthe average, and therefore a negative shift factor is assigned. Thefinal center of head point 418 b is therefore shifted down from thepreliminary center point 318 b by a distance equal to the shift factorSFb.

The projected ground location 420 is recomputed for each row ofsubjects, such as to give the appearance that each row of subjects isstanding on a different tier of an elevated platform, for example.

The final subject layout 410 is stored in a computer readable storagedevice. In some embodiments, the final subject layout 410 includes someor all of the data from the preliminary subject layout 310. The finalsubject layout 410 also includes one or more of the final subjectpositions 416 and final center of head points 418.

FIG. 14 illustrates an example method of generating an assembled groupimage 108. FIG. 14 also illustrates an example of the operation of therendering engine 250, shown in FIG. 6.

In this example, the assembled group image is compiled by inserting atleast portions of the subject images 102(a,b) onto a background artimage 430, using the final subject layout 410, including the finalsubject positions 416(a,b) and center of head points 418(a,b). Only aportion of the assembled group image 108 is shown in FIG. 14 for ease ofillustration.

The subject images 102 are retrieved, such as from the database 262 orfrom the processed subject images 272 (both shown in FIG. 6).Preferably, the subject images 102 are separated from an originalbackground, such that they only contain an image of the subject.

Each subject image 102 is identified and is arranged into the assembledgroup image 108 using the final subject layout 410. For example, thesubject image 102 a is first identified, and a center of head point 432a for the subject image 102 a is determined. The center of head point432 a can be retrieved from the subject data 104, subject position data270, or can be located using face finding software, for example. Thesubject image 102 a is then arranged in the assembled group image 108 byaligning the center of head point 432 a with the center of head point418 a of final subject position 416 a.

All subjects are arranged in the assembled group image 108 in a similarmanner. For example, the second subject image 102 b is arranged byaligning the center of head point 432 b with the center of head point418 b of final subject position 416 b.

Because the final subject positions 416(a,b) and associated centerpoints 432(a,b) are shifted by shift factors SF(a,b), the subject images102(a,b) are also shifted by the shift factor. For example, subjectimage 102 a is shifted up by the shift factor SFa, and subject image 102b is shifted down by the shift factor SFb, representing the actualdifferences in height between the subjects.

The z-order for each of the final subject layout 410 is used todetermine which subject image 102 should have priority in the event ofoverlap. In this example, the final subject position 416 b has a higherz-order (e.g., Z=1) than the final subject position 416 a (e.g., Z=0).As a result, the subject image 102 b is given priority in the region ofoverlap 434 between the subject images 102 a and 102 b, and a portion ofthe subject image 102 a appears to be hidden behind subject image 102 b.

The process is repeated for all subject images 102, until the entireassembled group image 108 has been compiled. The background art image430 can be added at any point during the process. For example, in someembodiments the subject images 102 are inserted into the background artimage 430, while in other embodiments the background art image 430 isinserted after the subject images 102 have been arranged. In yet anotherpossible embodiment, the background art image is not included.

The assembled group image 108 is saved in a computer readable storagedevice.

In some embodiments the subject images 102 may have relative sizevariations. For example, one subject image may have been taken with adifferent focal length than another subject, such that one subject maybe disproportionally sized as compared with the other subject. If so,additional processing can be performed to put the subject images intothe proper proportions.

One way to automatically evaluate the relative proportions is todetermine the distance between the centers of the eyes for each subjectimage. The images can then be scaled such that they all have a common orproportionate distance between the centers of the eyes. In someembodiments, the average subject height is used to compute an estimatedaverage distance between the centers of the eyes based on typical humanproportions. The subject images are then scaled accordingly (e.g., asubject having an actual height that is 1.1 times the average height, isscaled to have a distance between the centers of the eyes that is 1.1times the average distance). Such scaling can be performed at any timeprior to or during the rendering of the assembled group image 108.

FIG. 15 illustrates an example method 450 of generating subject shadowsfor an assembled group image, such as performed by the shadow generator252, shown in FIG. 6. In some embodiments the shadows are inserted intothe assembled group image during the rendering process illustrated inFIG. 14. In this example, method 450 includes operations 452, 454, 456,and 458.

Adding shadows can greatly improve the visual appearance of an assembledgroup image 108. The shadows help to emphasize the simulatedthree-dimensional arrangement of the subjects. Shadows also give theappearance that the subjects were all arranged together at once withcommon lighting, and therefore exhibit uniform (or uniformly varying)shadows throughout the assembled group image 108.

To generate the shadow for a given subject, operation 452 is firstperformed to generate a copy of the subject image of that subject.

The subject image is then processed in operation 454 to adjust the colorand transparency of the subject to transform the subject image into arepresentation of a shadow. In some embodiments, the operation 454involves changing the color of the copied image to all black, andadjusting the transparency of the image (to make the imagesemi-transparent). For example, the transparency is set to 50% in someembodiments. This permits images or background arranged behind theshadow to show through. The greater the transparency (closer to 100%)the lighter the shadow appears, while the lesser the transparency(closer to 0%), the darker the shadow appears. Further, in someembodiments the copy of image is blurred using a blurring function.

In operation 456, the shadow is then positioned in the image behind thesubject image and offset from the subject image by an offset distance inan offset direction. The magnitude of the offset distance and thedirection of the offset are determined according to the desired apparentlocation of one or more light sources. For example, to obtain anappearance of a single light source positioned forward, above, and tothe left of the subjects (or behind, above, and to the right from theviewer's perspective), the shadow is offset toward the left side of theworkspace, and slightly down. An example is shown in FIG. 16. As a morespecific example, the offset is arranged to the left 1.8% of the width(W1, in FIG. 9) of the workspace, and offset downward 1.2% of theworkspace height (H1, in FIG. 9). The offset distance and direction canbe adjusted as desired to obtain different lighting effects. Forexample, multiple shadows can be used to simulate multiple lightsources. Additionally, the offset distance and direction can vary acrossthe image, to simulate the varying light angles from one or more lightsources.

For example, in some embodiments the shadow can be simulated to fall ina different plane, such as on a floor or other object. To simulate anatural shadow extending across the object, a perspective skew can beapplied to the shadow to cause the shadow to appear to extend across thesurface of that object.

In some embodiments, in order to place the shadow behind the image, theshadow is assigned a z-order that is one less than the z-order of thesubject image. Z-orders of other subject images can be adjusted toaccommodate the insertion. For example, if the shadow for the subject atZ=1 is inserted between that subject and the subject having Z=0, theshadow is assigned the z-order of Z=1, and the subject image is assignedthe z-order of Z=2.

Operation 458 is then performed to remove all excess portions of theshadow. In some embodiments, each pixel of the shadow is evaluated todetermine what other images are immediately behind (i.e., have a lowerz-order than) that pixel. If the image behind the pixel is anothersubject, the pixel is determined to be an appropriate shadow, andtherefore the pixel is not changed. If, however, the image behind thepixel is the background image, it is determined that the shadow shouldnot be placed on the background. Therefore, the transparency of thatpixel is set to 100%, effectively removing that portion of the shadowfrom the image.

FIG. 16 illustrates an example of the method 450 of generating subjectshadows for an assembled group image. FIG. 16 illustrates steps (a)-(e).

The step (a) illustrates the subject image 102 b for which a shadow isto be generated.

In the step (b), a copy of the subject image 102 b is made to form ashadow 470, and adjusted to have the appearance of a shadow. Forexample, the color and transparency are adjusted as discussed herein.

The shadow 470 is offset from the subject image 102 b in step (c), andthe shadow 470 is inserted behind the subject image 102 b. For example,the shadow 470 is assigned a z-order equal to the subject image z-order(Z=1), and the z-order of the subject is increased by one (Z=2).

As illustrated in step (d), the arrangement of the shadow 470 betweenthe subject image 102 b and another subject image 102 a causes theshadow 470 to be displayed over any portion 472 of the subject 102 athat is behind the shadow 470. In step (d), the remaining portions ofthe shadow 470 are removed. Specifically, any portion 474 and 476 of theshadow 470 that is arranged forward of the background, without anysubject images therebetween, is removed. Removal can include adjustingthe transparency of the associated pixels to make the pixelstransparent. Alternatively, the shadow 470 image can be cut to removeany extraneous pixels.

Step (e) illustrates the resulting shadow portion 472 of the shadow 470that is displayed on the subject 102 a. The portions 474 and 476 (shownin step (d)) of the shadow 470 are not displayed, permitting thebackground to be visible behind the subject images 102 a and 102 b.

In the foregoing discussion, the relative terms such as “forward,”“backward,” “in front,” and “behind” are sometimes used to refer to thez-orders of the respective images. Other embodiments utilize othertechniques for arranging and tracking the relative depth of the objectswithin the image.

In some embodiments, the above processes are performed without visuallydisplaying the results to the user. The results can subsequently berendered in a user interface once the processing has been completed.Graphical representations of the various methods, operations, andprocesses are provided herein to permit the concepts to be visualizedfor ease of explanation. However, in other embodiments the operationsare visually depicted in the manner, or a similar manner, illustrated inthe drawings.

FIG. 17 is a schematic diagram illustrating the use of a gradient mask480 in an assembled group image.

In some implementations, the subject images 102 are only partial lengthphotographs, such as ¾ length or ½ length. As a result, a bottom portionof the subject is not captured in the subject image. An example is shownin FIG. 17 in which a subject image 102 a arranged at the final subjectposition 416 a. The image 102 a is a ¾ length image, which ends at aboutmid-thigh.

In order to ensure that the missing portion of the subject is notapparent in the image, a gradient mask 480 can be inserted into theimage. In this example, the gradient mask is inserted in front of a rowof subjects (e.g., the subjects in row 3) and positioned across thebottom of the images 102 in that row. Because the subject images are ¾length, the gradient mask can be positioned at the top at approximatelythe height of the subject's waist or hips, and be positioned at thebottom to extend at least to the bottom of the image.

In some embodiments, the pixels of the gradient mask 480 are assigned acolor, such as black. The gradient mask 480 is also configured toinclude a transparency gradient. The transparency gradient has atransparency of 100% at the top and a transparency of 0% at the bottom.In other words, the transparency varies from fully transparent at thetop, to fully opaque at the bottom. The result is the appearance of aheavy shadow below the cut-off edge of the subject image 416 e, whichgradually lightens to reveal the subject. The gradient mask is arrangedin front of the subjects in the row, for example, the gradient mask isassigned a z-order of 7, in this example, which is forward of thesubject images and associated shadows.

Additional gradient masks 480 can similarly be added for any cut-offportions that may be visible within the workspace. If the cut-offportion of the image falls below the workspace, such as will typicallybe the case for subjects in the front row, the gradient mask 480 can beomitted as unnecessary.

In some embodiments, the position (i.e., z-order) of the gradient mask480 operates to identify the rows that subjects are arranged in. Forexample, all subjects having a z-order of less than 7 are determined tobe in the back row. All subjects having a z-order of greater than 7, butless than the next gradient mask are in the next row, etc.

When all of the subjects have been properly arranged in the workspace,as described herein, additional artwork and text data 272 are added insome embodiments. Alternatively, the artwork and text data 272 can beadded earlier in the process. Artwork can include background art imagesthat form the background of the image, or can include other artwork,such as a border arranged outside of the workspace, or a graphicalelement to be displayed in the foreground or an unused portion of theworkspace. Text data can similarly be arranged in a border region, onthe background, or as a foreground object.

In some embodiments, a final assembled group image 108 is provided to aproduction station 130, such as illustrated and described with referenceto FIG. 2, and ultimately made into one or more products 132. Theproducts 132 are provided to one or more customers C1, C2, and C3.

The various embodiments described above are provided by way ofillustration only and should not be construed to limit the claimsattached hereto. Those skilled in the art will readily recognize variousmodifications and changes that may be made without following the exampleembodiments and applications illustrated and described herein, andwithout departing from the true spirit and scope of the followingclaims.

What is claimed is:
 1. A method of generating an assembled group imagefrom subject images, the method comprising: receiving by at least onecomputing device image selection criteria; determining subjects to beincluded in the assembled group image, the subjects associated with oneor more subject images; for each of the determined subjects, conductinga search using the at least one computing device to select a subjectimage for inclusion in the assembled group image from the one or moresubject images by querying a data store of information about the subjectimage using the received image selection criteria; generating by the atleast one computing device an arrangement for the selected subjectimages based on information about the subject images stored in the datastore, the arrangement including subject positions that are based atleast in part on information stored in the data store; and generating bythe at least one computing device the assembled group image by arrangingthe subject images at the subject positions.
 2. The method of claim 1,further comprising: identifying a plurality of subjects for inclusion inthe assembled group image; and wherein selecting subject imagescomprises selecting subject images for the identified subjects.
 3. Themethod of claim 2, wherein the subjects are identified based on groupaffiliation data for the subjects.
 4. The method of claim 3, wherein thegroup affiliation data identifies affiliation with at least one aschool, a class, a team, a club, a business unit, and a department. 5.The method of claim 1, wherein the information about the subject imagescomprises body points information, the method further comprisingprocessing at least one of the subject images to identify locations ofbody points in the at least one of the subject images.
 6. The method ofclaim 1, wherein determining an arrangement for the selected subjectimages further comprises: determining a number of subjects to beincluded in the assembled group image; determining a size of a workspacefor the assembled group image; determining a number of rows and a numberof subjects per row to fit the number of subjects in the workspace; andidentifying the subject positions in the workspace wherein the number ofsubject positions equals the number of subjects and wherein the subjectpositions are arranged in the number of rows and having a number ofsubject positions per row that equals the number of subjects per row. 7.The method of claim 6, wherein the number of subjects is identifiedbased on the number of subjects that are associated with a particulargroup.
 8. The method of claim 6, wherein determining an arrangement forthe selected subject images further comprises determining a desired headsize for the subject positions.
 9. The method of claim 8, whereingenerating the assembled group image comprises scaling the subjectimages according to the desired head size.
 10. The method of claim 6,further comprising selecting a subject image for a subject positionbased on information about the subject images.
 11. The method of claim10, wherein the information about the subject images comprises poseinformation, including a direction the subject is facing, whereinsubject images are selected for subject positions so that the subject isfacing a center of the assembled group image.
 12. The method of claim10, wherein the information about the subject images comprises poseinformation, including arm position information, wherein subject imagesare selected to have the same arm position.
 13. The method of claim 6,further comprising assigning a z-order to the subject positions based ona row position of the subject position.
 14. The method of claim 13,wherein generating the assembled group image further comprisesgenerating subject shadows, generating subject shadows comprising:generating a copy of a subject image; adjusting the color andtransparency of the copy of the subject image and blurring to generate arepresentation of a shadow; offsetting the representation of the shadowfrom the subject image; removing excess portions of the representationof the shadow; and applying the representation of the shadow to othersubject images based on z-order.
 15. An assembly station for generatingan assembled group image from subject images, the assembly stationcomprising: at least one processing device; and at least one computerreadable storage device, wherein the at least one computer readablestorage device comprises data instructions, which when executed by theat least one processing device, cause the processing device to: receiveimage selection criteria; determine subjects to be included in theassembled group image, the subjects associated with one or more subjectimages; for each of the determined subjects, conduct a search using theat least one computing device to select a subject image for inclusion inthe assembled group image from the one or more subject images byquerying a data store of information about the subject image using thereceived image selection criteria; generate an arrangement for theselected subject images based on information about the subject imagesstored in the data store, the arrangement including subject positionsthat are based at least in part on information stored in the data store;and generate the assembled group image by arranging the subject imagesat the subject positions.
 16. The assembly station of claim 15,comprising further data instructions that cause the processing deviceto: determine whether a subject image includes a cut-off portion; andwhen determined that the subject image includes a cut-off portion, applya gradient mask to the subject images.
 17. The assembly station of claim16, wherein the gradient mask comprises a transparency gradient having atransparency of 100% at a top and 0% at a bottom, the bottom beingaligned with the cut-off portion of the subject image.
 18. The assemblystation of claim 17, wherein the arrangement for the selected subjectimages comprises multiple rows of subject positions, and wherein thedata instructions further cause the processing device to assign subjectimages to subject positions within the rows and to generate gradientmask for the subject images based on the row assignment.
 19. A method ofgenerating an assembled group image from subject images, the methodcomprising: receiving by at least one computing device image selectioncriteria, including group affiliation criteria; identifying by the atleast one computing device using the image selection criteria aplurality of subjects for inclusion in an assembled group image based ongroup affiliation data for the plurality of subjects by querying a datastore of information about the subject images using the received imageselection criteria, the plurality of subjects associated with one ormore subject images; determining a number of the identified subjects tobe included in the assembled group image; determining a size of aworkspace for the assembled group image; determining a number of rowsand a number of subjects per row to fit the number of subjects in theworkspace; identifying the subject positions in the workspace whereinthe number of subject positions equals the number of subjects andwherein the subject positions are arranged in the number of rows andhaving a number of subject positions per row that equals the number ofsubjects per row; for each of the plurality of identified subjects,conducting a search using the at least one computing device to select asubject image from the one or more subject images for the identifiedsubject positions based on pose information about the subject imagesstored in the data store, including a direction the subject is facing,wherein the subject images are selected for subject positions so thatthe subject is facing a center of the assembled group image; andgenerating by the at least one computing device the assembled groupimage by arranging the subject images at the subject positions.
 20. Themethod of claim 19, further comprising: extracting an identifier frommetadata stored with at least one of the subject images; and using theidentifier to retrieve information about the at least one subject imagefrom a database of image-specific data for the subject images.
 21. Themethod of claim 1, wherein the image selection criteria includeinformation about subject pose in subject images.